Data Quality’s Impact on Large Language Models // Mona Rakibe & Maxim Lukichev // LLMs III Talk

// Abstract
Data quality is the foundation of successful Generative A, traditional ML, and data-driven initiatives. In this talk, I will share our research results on this as there is a tangible impact of poor data quality on model performance and training cost.

// Bio
Mona Rakibe
Mona Rakibe, CEO and Co-Founder of Telmai, an AI-based data observability platform built for Open Architecture.
A veteran in the Data Infrastructure landscape, Mona Rakibe worked in engineering and product leadership positions that …

abstract cost data data-driven data quality foundation generative iii impact language language models large language large language models llms mona rakibe performance quality research talk training